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Overview Learn about Sales and Marketing Principles from industry experts and boost your professional skill. This Sales and Marketing Principles course will enhance your skill and make you ready for the job market. You'll get expert opinions about the best practices and problems of Sales and Marketing Principles. You'll also gain the skills of Sales and Marketing Principles to excel in your job and tips to master professional skills in no time.  You'll be connected with the community of Sales and Marketing Principles professionals and gain first-hand experience of Sales and Marketing Principles problem-solving. The Sales and Marketing Principles  is self-paced. You can complete your course and attend the examination in your suitable schedule. After completing the Sales and Marketing Principles, you'll be provided with a CPD accredited certificate which will boost your CV and help you get your dream job.  This Sales and Marketing Principles will provide you with the latest information and updates of Sales and Marketing Principles. It will keep you one step ahead of others and increase your chances of growth. Why buy this Sales and Marketing Principles? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Sales and Marketing Principles you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Sales and Marketing Principles does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Sales and Marketing Principles was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Sales and Marketing Principles is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Sales Skills for Beginners Mindset Attitude 00:01:00 Values 00:03:00 Beliefs 00:02:00 How to Change Beliefs 00:04:00 Goals 00:06:00 Focus 00:02:00 The Extra Mile 00:03:00 Team Player 00:02:00 Accentuate the Positive 00:03:00 Be a Winner! 00:02:00 Organizational Skills Pre-call Research 00:02:00 Gaining Appointments 00:04:00 Pre-call Planning 00:04:00 Route Planning 00:04:00 Prioritizing your Time 00:02:00 Controlling the Controlable 00:03:00 Product Knowledge Know your Products 00:03:00 Features and Benefits 00:03:00 Customer Perception 00:02:00 Sales Calls Beginning Sales Calls 00:03:00 Listening & Question Listening Skills Part 1 00:07:00 Listening Skills Part 2 00:05:00 Uncovering Needs 00:05:00 Closing Sales Calls Closing a Sales Call 00:04:00 Following Up Post Call Analysis 00:05:00 Follow Up Actions 00:02:00 Onwards 00:01:00 Final Thoughts 00:01:00 Mastering Sales Techniques The Guaranteed Way to Improve Your Sales Technique The Number One Universal Killer Question in Selling 00:03:00 The Importance of Establishing the Clients Expectations 00:02:00 How to Close the Sale Without Sounding like a Salesman 00:04:00 Why People Buy and How to Get Them to Buy from Us People Buy Emotionally and Justify Logically. What to Do About It 00:04:00 Don't Assume You Know the Buyer's Priorities 00:05:00 How to Unearth the Buyer's Strategic Needs 00:03:00 The Importance of Implications 00:04:00 Why People Don't Buy and How to Counteract Any Objection Being Prepared for Objections 00:04:00 The Most Common Objections and How to Handle Them 00:04:00 How to Get People to Choose What You Want Them To 00:04:00 What Buyers Say and What They Really Mean 00:03:00 Holding a High Price What Does Value For Money Really Mean? 00:03:00 Five Proven Techniques to Save Money and Make Money 00:04:00 The Words: 'Typically', 'Realistically', 'Currently', 'Given' and 'Yet' 00:02:00 Justifying Your Price - the Power of One 00:04:00 The Final 'Killer Questions' That Allow You to Negotiate More Successfully 00:04:00 Win-Win and Increasing Average Order Value The Real Meaning of 'Win-Win' 00:04:00 The Rules for Discounting 00:03:00 How to Hold a High Price 00:04:00 How to Increase Average Order 00:03:00 The Compromise Effect 00:03:00 Sales Techniques You Need to Know All You Need to Know About Time Management 00:03:00 Recognising the Moment That Matters and the Role of 'Enough' 00:06:00 What to Do When It Starts Going Wrong 00:05:00 How to Understand Other People - Can You Clarify? 00:04:00 How to Build Your Reputation and Getting Your Client to Feel Indebted to You 00:04:00 Selling in the Long Term and Being Recommended 00:04:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for those who regularly deploy or manage Meraki networks and want to deepen their technical expertise and understanding of the full Meraki product suite and features. This may include professionals with job titles or in roles such as: Consulting Systems Engineer Deployment Engineer Network Administrator Network Manager Network Engineer Site Reliability Engineer Systems Engineer Technical Solutions Architect Wireless Design Engineer Wireless Engineer Overview After completing the course, you should be able to: Plan new Cisco Meraki architectures and expand existing deployments Design the network for scalable management and high availability Describe how to automate and scale Meraki deployments with dashboard tools Use dynamic routing protocols to expand networks and improve WAN performance Describe proper QoS, policy and performance-based routing configurations across a Cisco Meraki network and WAN optimization through traffic shaping Describe Virtual Private Network (VPN) and Wide Area Network (WAN) topologies and how to integrate them Secure, expand, and shape the network Implement switched network concepts and practices, and configure guests networks Implement wireless configurations concepts and practices Describe endpoint management concepts and practices using Cisco Meraki Systems Manager Describe physical security concepts and practices Gain network insight by monitoring applications Describe how to prepare monitoring, logging, and alerting services Set up reporting and auditing capabilities in the Cisco Meraki dashboard Monitor and troubleshoot issues using Cisco Meraki tools The course, Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 elevates your knowledge of Cisco© Meraki? technology suite. In this advanced technical training course, you?ll learn how to plan for network deployments and integrations using the Cisco Meraki platform. Through practical hands-on instruction and experiences, you will learn how to operate Meraki networks and troubleshoot complex network incidents using the Meraki Dashboard and analytics. You will also learn how to design Meraki architectures for redundancy, high-density, and scalability by implementing comprehensive Meraki product features to meet design objectives. This course is the second of two courses that prepares you for Cisco Meraki certification. Course Outline Planning new Cisco Meraki architectures and expanding existing deployments Designing for scalable management and high availability Automating and scaling Meraki deployments Designing routing and practices on the Meraki platform Describing Quality of Service (QoS) and traffic shaping design Building VPN and WAN topologies Securing, expanding, and shaping the network Describing network concepts and practices Implementing wireless configuration practices and concepts Describing Endpoint management concepts and practices Describing physical security concepts and practices Gaining network insight through monitoring applications Preparing monitoring, logging, and alerting services Setting up reporting and auditing capabilities in the Cisco Meraki Dashboard Gaining visibility and resolving issues using Meraki features and built-in troubleshooting tools Additional course details: Nexus Humans Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours From Playgrounds to protocols?discover, explore, and demonstrate how to use the fundamental building blocks of the Swift programming language. This 2-day, hands-on course teaches you the basic concepts of Swift programming, including syntax, logic, structures, functions, and patterns. It also includes detailed explanations of language syntax and coding exercises Introduction to Swift and Playgrounds Learn about the origin of Swift and some of its basic syntax Constants, Variables, and Data Types Learn how to define constants for values that don?t change and variables for values that do. Learn the data types that are included in Swift and how they can help you write better code Operators Learn about some of the operators in the Swift language, including basic math operators. Control Flow Learn how to use logical operators in Swift to check conditions; learn how to use control flow statements. Strings Learn how to create and store text using the string type. You'll learn a variety of string methods that allow you to compare two strings, access specific characters within a string, and insert and remove values Functions Learn how to declare functions with different parameters and return types Structures Learn how to create structures in Swift. Classes Learn what makes classes different from structures and when to use classes instead of structures. Also learn about inheritance, superclasses, and subclasses. Optionals Learn to use ?optionals? to properly handle situations when data may or may not exist Collections Learn about the various collection types available in Swift and how to choose the appropriate one for your program. Loops Learn how to create loops in Swift, control the conditions for looping, and specify when to stop. Type Casting Learn why some data can be expressed using only a broader type, and how you can test for specific kinds of data before using it. Guard Learn to use guard statements to better manage control flow. Scope Learn to write nicely structured code that's easy to read. You'll do this by properly scoping your constants and variables Enumerations Learn when enumerations are commonly used, how to define an enumeration, and how to work with enumerations using switch statements. Protocols Learn what protocols are, when to use them, and how to write your own. Learn how to enable objects to communicate with each other and how to extend protocols to provide shared functionality across multiple types Closures Learn about closures, how to define them, how to use them as function arguments, and how to use some of the common functions that take closures as arguments. Extensions Learn how to define an extension, as well as how and why to use extensions. Additional course details: Nexus Humans Introduction to Swift training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Swift course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for network and software engineers who hold the following job roles: Network engineer Systems engineer Wireless engineer Consulting systems engineer Technical solutions architect Network administrator Wireless design engineer Network manager Site reliability engineer Deployment engineer Sales engineer Account manager Overview After taking this course, you should be able to: Leverage the tools and APIs to automate Cisco ACI powered data centers. Demonstrate workflows (configuration, verification, healthchecking, monitoring) using Python, Ansible, and Postman. Leverage the various models and APIs of the Cisco Nexus OS platform to perform day 0 operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python. Describe the paradigm shift of Model Driven Telemetry and understand the building blocks of a working solution. Describe how the Cisco Data Center compute solutions can be managed and automated using API centric tooling, by using the Python SDK, PowerTool, and Ansible modules to implement various workflows on Cisco UCS, Cisco IMC, Cisco UCS Manager, Cisco UCS Director, and Cisco Intersight. The Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course teaches you how to implement Cisco© Data Center automated solutions including programming concepts, orchestration, and automation tools. Through a combination of lessons and hands-on practice, you will manage the tools and learn the benefits of programmability and automation in the Cisco-powered Data Center. You will examine Cisco Application Centric Infrastructure (Cisco ACI©), Software-Defined Networking (SDN) for data center and cloud networks, Cisco Nexus© (Cisco NX-OS) platforms for device-centric automation, and Cisco Unified Computing System (Cisco UCS©) for Data Center compute. You will study their current ecosystem of Application Programming Interfaces (APIs), software development toolkits, and relevant workflows along with open industry standards, tools, and APIs, such as Python, Ansible, Git, JavaScript Object Notation (JSON), Yaml Ain't Markup Language (YAML), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Generation (YANG).This course prepares you for the 300-635 Automating Cisco Data Center Solutions (DCAUTO) certification exam. Introducing Automation for Cisco Solutions (CSAU) is required prior to enrolling in Implementing Automation for Cisco Data Center Solutions (DCAUI) because it provides crucial foundational knowledge essential to success. This course also earns you 24 Continuing Education (CE) credits towards recertification. Course Outline Describing the Cisco ACI Policy Model Describing the Cisco APIC REST API Using Python to Interact with the ACI REST API Using Ansible to Automate Cisco ACI Introducing Cisco NX-OS Programmability Describing Day-Zero Provisioning with Cisco NX-OS Implementing On-Box Programmability and Automation with Cisco NX-OS Implementing Off-Box Programmability and Automation with Cisco NX-OS Automating Cisco UCS Using Developer Tools Implementing Workflows Using Cisco UCS Director Describing Cisco DCNM Describing Cisco Intersight Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview of Teacher Training The Teacher Training Course is designed to help you build the knowledge and confidence needed to teach and support students in today’s schools. There are over 625,000 teachers working in the UK, and the need for trained teachers continues to grow. This course gives you the skills to understand how children learn, different ways to teach, and how to support children with special needs like autism, ADHD, and dyslexia. You will also learn how to communicate clearly with students and parents, and follow important safety and safeguarding rules. Many children in UK schools have special educational needs (SEN), with around 15% of pupils needing extra help. This Teacher Training Course gives you the tools to support them better. You will study useful teaching methods, memory-building strategies, and how to check student progress. These lessons will help you feel more ready to teach in a wide range of classrooms and work with different kinds of learners. Choosing this Teacher Training Course can lead to a strong and meaningful career. Not only does it offer job security, but it also allows you to help children learn and grow. You’ll be able to use proven teaching techniques to support every student’s learning journey. This Teacher Training Course is your chance to build a better future for yourself—and your students. By the end of this Teacher Training Course, you will be able to: Understand how children and teenagers grow and learn. Use helpful teaching methods in different types of classrooms. Support students with special educational needs (SEN) using inclusive strategies. Build strong working relationships with students, parents, and team members. Spot safeguarding issues and know how to report them correctly. Check and understand student progress through smart assessment tools. Who Is This Course For? This Teacher Training Course is perfect for: New learners who want to start a career in teaching and learn about child development. Teachers who want to update their teaching styles and learn more about supporting SEN students. Teaching assistants looking to move forward in their careers with better skills and SEN training. People working with children who want to better understand how they learn and how to keep them safe. School leaders who want to support teachers and students by learning more about teaching and SEN needs. Process of Evaluation After studying the Teacher Training Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Teacher Training Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the Teacher Training course. Career Path Completing the Teacher Training Course can lead to roles such as: Primary School Teacher – £25,000 to £41,000/year SEN Coordinator (SENCO) – £40,000 to £64,000/year Teaching Assistant – £18,000 to £25,000/year Autism Specialist Teacher – £30,000 to £45,000/year Educational Psychologist – £38,000 to £68,000/year

Hairdressing and barbering may be known for cutting hair, but it’s the attention to detail—personal care, safety awareness, and a touch of flair—that shapes success. This Mini Bundle brings together essential subjects such as beauty, personal hygiene, nail work, make-up, and first aid to build the foundational mindset for grooming professionals. You'll gain theoretical knowledge of hygiene, style preparation, client interaction, and first response—all crucial in a grooming environment. Whether you’re at the start of your journey or brushing up on the basics, this course offers a well-combed approach to building solid knowledge with sharp focus (yes, pun intended). Learning Outcomes: Understand basic hygiene practices in grooming and beauty services. Learn the essentials of make-up theory and application stages. Explore nail care and professional nail treatment processes. Recognise first aid responses relevant to salon environments. Gain awareness of beauty principles in personal presentation. Identify service responsibilities in client-facing beauty roles. Who Is This Course For: Aspiring barbers seeking core knowledge in grooming services. Students planning a future in beauty and personal care. Beginners exploring entry into hairdressing or styling roles. Salon receptionists wanting to understand daily services. Nail technicians expanding into beauty and hair. Beauty students reviewing hygiene and client care topics. Home-based beauticians looking to formalise their knowledge. First-time learners exploring style and safety awareness. Career Path: Hairdresser – £21,000/year Barber – £22,500/year Beauty Therapist – £21,500/year Nail Technician – £20,000/year Salon Assistant – £18,500/year Make-up Artist (Salon-Based) – £24,000/year

Running a retail operation isn’t all shelf-stacking and smiles. The Retail Management & Customer Relations Mini Bundle combines Retail Management, Negotiation Skills, Lean Manufacturing, Team Leader, and a Sales Crash Course to help build confidence in store coordination, people management, and customer engagement. This bundle is for those who want to take charge—without making it a drama. You’ll explore how to manage staff, sell with structure, cut waste through lean thinking, and communicate with clarity. Whether you're chasing targets or just tired of guessing what goes where, this no-fluff bundle gives structure to your retail ambition. Learning Outcomes: Understand store operations through structured Retail Management modules. Develop effective Negotiation Skills for retail conversations and deals. Learn Lean Manufacturing methods to cut process waste. Explore Team Leader responsibilities in fast-paced environments. Improve selling confidence via the Sales Crash Course. Manage store tasks and team goals more efficiently. Who is this Course For: Staff preparing for Retail Management responsibilities. Sales assistants looking to develop team-leading confidence. People learning Negotiation Skills for customer or supplier talks. Anyone curious about Lean Manufacturing in a retail setting. Individuals interested in improving everyday sales methods. Aspiring managers looking for flexible training. Store workers managing teams or store-wide tasks. Learners building confidence in people-facing retail roles. Career Path: Retail Manager – £30,000 average UK salary Sales Executive – £29,000 average UK salary Assistant Store Manager – £28,000 average UK salary Team Leader (Retail) – £27,000 average UK salary Supply Chain Assistant – £26,500 average UK salary Lean Coordinator – £32,000 average UK salary

Everyone needs a break—from the inbox, the calendar, and the endless meetings. This bundle is made for adults looking to balance leisure with learning. It covers a mix of calm and creative subjects like gardening, horticulture, bird watching, photography, and traffic generation (because hobbies sometimes do include websites). Whether you're drawn to nature or prefer catching the world through a lens, there’s something here to enjoy at your own pace. You’ll also explore how to attract online visitors—whether to a blog, a side hustle, or that collection of bird snaps you've been meaning to post. A refreshingly light bundle with a few clever tricks up its sleeve. Learning Outcomes: Identify common bird species and their unique behaviours. Learn to photograph scenes with clarity and focus. Discover effective methods for growing plants and flowers. Understand digital traffic concepts for online visibility. Explore basic gardening techniques for outdoor or indoor use. Gain knowledge of horticultural practices and principles. Who is this Course For: Adults seeking enjoyable yet informative leisure activities. Nature lovers keen to expand their outdoor interests. Bloggers wanting to learn basic traffic generation tips. Photography enthusiasts improving composition and clarity. Bird watchers interested in understanding species behaviour. Gardeners exploring structured horticultural knowledge. Those building relaxing, offline hobbies into their routine. Anyone needing digital and creative balance in life. Career Path: Gardener – Average Salary: £23,000 Wildlife Photographer – Average Salary: £28,000 Horticultural Technician – Average Salary: £25,000 SEO Assistant (Traffic Focused) – Average Salary: £30,000 Nature Blogger – Average Salary: £26,000 Birdwatching Tour Leader – Average Salary: £24,000